Solutions Architect, Telco, AWS Telco Business Unit

Amazon is hiring a Solutions Architect, Telco, AWS Telco Business Unit for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Level.

AI in this role

Lead technical engagements as a solutions architect focused on building agentic AI and generative AI prototypes and accelerating cloud development.

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Join the AWS EMEA Telecom team as a Solutions Architect — You will work directly in customer non-production sandbox environments to create working prototypes, proof-of-concepts, and AI-driven solutions that prove AWS value faster than traditional advisory engagements, eliminating the traditional handoff between advisory and implementation.

You will be the primary technical partner for major European telecommunications operators, leading with Agentic AI and AI-assisted software development as the primary value proposition while building directly alongside customer engineering teams.

Key job responsibilities
This is a builder-first technical role that combines the strategic advisory expertise of a Solutions Architect with hands-on software engineering capabilities.

Build working prototypes in customer non-production sandbox environments using AI-augmented development tools — delivering tangible, demonstrable value early in the engagement
Pair-program with customer teams, embedding directly with their engineers during time-boxed sprints to accelerate AI adoption and cloud-native development
Write high-quality sample code for proof-of-concepts, demos, and sample applications spanning generative AI architectures, agentic systems, and telco-specific workloads (operations support system modernization, network cloudification, contact centre AI)
Design and deploy infrastructure using Infrastructure-as-Code (AWS CDK, Terraform, CloudFormation) in customer sandbox environments, demonstrating scalability and security patterns
Strategic Advisory

Own the end-to-end technical relationship with Tier-1 European telco groups, acting as trusted advisor to technical decision makers
Shape AI and cloud strategy for major operators — translating complex technical capabilities into business-outcome narratives
Lead architecture design for Agentic AI initiatives including multi-agent orchestration, foundation model integration, and enterprise AI platforms
Drive AI-assisted software development lifecycle strategy, positioning AWS developer tools for software transformation at scale across large engineering organizations
Revenue and Opportunity Acceleration

Accelerate deal cycles by removing technical blockers through hands-on building — measurably reducing opportunity cycle time
Identify and launch new opportunities discovered during customer engagements
Increase service adoption per customer through tangible demonstrations of multi-service integration
Customer Development Engineer Operating Principles

Demonstrate value through building AND advisory — lead with building to show tangible value
Act as an extension of customers through hands-on co-development in their environments
Outcome-focused — identify, develop, and realise business opportunities through tangible proof points
Security first, speed second — but both are possible — AI-augmented development compresses timelines without compromising security or architectural integrity
Technical accuracy over short-term revenue — recommend the right solution for customer context, even if it results in lower immediate revenue
Scale innovation through reusable solutions — build once, share broadly via accelerators and reference architectures

About the team
The EMEA Telecom Solutions Architecture team covers the largest telco operators across Europe. We sit within the AWS Global Telecom Industry Business Unit and drive technical outcomes across cloud transformation, AI adoption, network cloudification, and software modernisation. The team operates with a "forward-deployed competence" mindset — bringing deep technical expertise directly to where customers need it most.

Basic qualifications

- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military
- Experience in IT development or implementation/consulting in the software or Internet industries
- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

Preferred qualifications

- Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
- Experience in infrastructure architecture, database architecture and networking
- Experience working with end user or developer communities

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Solutions Architect, Telco, AWS Telco Business Unit at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Solutions Architect, Telco, AWS Telco Business Unit is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in GB, London and is marked remote.
The job was posted on September 7, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Solutions ArchitectureGenerative AIAgentic AISoftware EngineeringCloud ComputingAWSTerraformAWS Cdk

Also common in solutions architect jobs at this level

Python LLM Machine learning Azure Google Cloud SQL

Pay

Typical solutions architect job: $168k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

Tell me about a project where solutions architecture was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where agentic ai was part of your work. What did you do?
Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Solutions Architecture, Generative AI, Agentic AI, Software Engineering, and Cloud Computing. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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